About: Depth Map Fusion with Camera Position Refinement

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present a novel algorithm for image-based surface reconstruction from a set of calibrated images. The problem is formulated in Bayesian framework, where estimates of depth and visibility in a set of selected cameras are iteratively improved. The core of the algorithm is the minimisation of overall geometric L_2 error between measured 3D points and the depth estimates. In the visibility estimation task, the algorithm aims at outlier detection and noise suppression, as both types of errors are often present in the stereo output. The geometrical formulation allows for simultaneous refinement of the external camera parameters, which is an essential step for obtaining accurate results even when the calibration is not precisely known. We show that the results obtained with our method are comparable to other state-of-the-art techniques. We present a novel algorithm for image-based surface reconstruction from a set of calibrated images. The problem is formulated in Bayesian framework, where estimates of depth and visibility in a set of selected cameras are iteratively improved. The core of the algorithm is the minimisation of overall geometric L_2 error between measured 3D points and the depth estimates. In the visibility estimation task, the algorithm aims at outlier detection and noise suppression, as both types of errors are often present in the stereo output. The geometrical formulation allows for simultaneous refinement of the external camera parameters, which is an essential step for obtaining accurate results even when the calibration is not precisely known. We show that the results obtained with our method are comparable to other state-of-the-art techniques. (en)
Title	Depth Map Fusion with Camera Position Refinement Depth Map Fusion with Camera Position Refinement (en)
skos:prefLabel	Depth Map Fusion with Camera Position Refinement Depth Map Fusion with Camera Position Refinement (en)
skos:notation	RIV/68407700:21230/09:00161364!RIV10-AV0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1ET101210406)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Tyleček, Radim Šára, Radim
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	309525
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/09:00161364
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	computer vision; surface reconstruction (en)
http://linked.open.../riv/klicoveSlovo	computer vision surface reconstruction
http://linked.open...ontrolniKodProRIV	[33621DAFE0C2]
http://linked.open...v/mistoKonaniAkce	Eibiswald
http://linked.open...i/riv/mistoVydani	Wien
http://linked.open...i/riv/nazevZdroje	CVWW 2009: Computer Vision Winter Workshop 2009
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Automatic 3D Virtual Model Builder from Photographs
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Tyleček, Radim Šára, Radim
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2009-02-04 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Pattern Recognition & Image Processing Group, Vienna University of Technology
https://schema.org/isbn	978-3-200-01390-2
http://localhost/t...ganizacniJednotka	21230

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